Susanne Trick joined the lab as a PhD student in January 2019.
She is working on the Kobo34 project which aims to contribute to maintaining the independence of elderly people with a humanoid robot that supports everyday life activities.
Susanne Trick’s research focuses on the understanding and prediction of human behavior, particularly in the interaction between human and robot. Her main interest is intention recognition which especially includes the use of data from multiple modalities (e.g. gaze, gestures, speech). Consequently, she also works on probabilistic modeling of optimal combination of multimodal data, in particular with the goal to reduce the overall uncertainty.
Presentations and publications
- Koert, D.; Trick, S.; Ewerton, M.; Lutter, M.; Peters, J. (2018). Online Learning of an Open-Ended Skill Library for Collaborative Tasks, Proceedings of the International Conference on Humanoid Robots (HUMANOIDS).
- Koert, D.; Pajarinen, J.; Schotschneider, A.; Trick, S., Rothkopf, C.; Peters, J. (2019). Learning Intention Aware Online Adaptation of Movement Primitives, IEEE Robotics and Automation Letters (RA-L), with presentation at the IEEE International Conference on Intelligent Robots and Systems (IROS).
|Since 2019||PhD student at the Psychology of Information Processing lab of Prof. Constantin Rothkopf, TU Darmstadt, Germany|
|2018||Student Researcher at the Psychology of Information Processing lab of Prof. Constantin Rothkopf, TU Darmstadt, Germany|
|2016 – 2018||M.Sc. Psychology in Information Technology, TU Darmstadt, Germany|
|2013 – 2016||B.Sc. Psychology in Information Technology, TU Darmstadt, Germany|
|Summer 2019||Application-oriented program design in Java (Seminar)|